Location Selection of Logistics Center in e-Commerce Network Environments

Abstract

Abstract:The site selection of logistics center is a very complicated and enormous system problem. Each site selection method and model is based on a certain premise and hypothesis. The site selection decision of distribution center has an important influence on the whole logistics system operation. A good location of urban logistics sites is important for optimizing the logistics network, and improving the urban traffic conditions, and level of logistics services. Motivated by this, in this paper, based on the research of sixteen cities in southeastern China and neural network algorithms, we proposed a logistics center location selection algorithm. Our method considers the six important concepts reflecting the performance index of the city logistics, such as city location quotient, market prosperity degree, proportion of freight volume, urban centricity, per capita gross domestic product (GDP), and population size. Our method conducts the nested fuzzy analytic hierarchy process (AHP), and then investigates the total ranking of the single order hierarchy to select suitable logistics centers.

Double Entropy Joint Distribution Function and Its Application in Calculation of Design Wave Height

“…Figure 1 is a scatter plot of dimensionless wave heights and periods ("wave height and period" in short). The maximum entropy probability density functions of wave height and period are respectively obtained by substituting the parameters of Table 1 into Equation (19)…”

“…The corresponding parameters can be obtained through Equations (7) and (18), as shown in Table 1. The maximum entropy probability density functions of wave height and period are respectively obtained by substituting the parameters of Table 1 into Equation (19) and are as follows:…”

“…In view of general applicability of the maximum entropy distribution, it can constrain the existing data while maintaining the greatest uncertainty for the unknown information, so that the priori and artificial nature of the traditional methods can be avoided to a certain extent. Currently, the maximum entropy principle has been extensive applied to many fields [18][19][20].…”

Calculation of Joint Return Period for Connected Edge Data

“…Actually, the damage of coastal and ocean engineering are usually the result of their combined effect. Currently, the theory of multivariate distribution has been applied in many fields [10][11][12][13][14][15][16]. Many application examples have also shown that the design parameters derived from a joint probability distribution can better meet the design need of ocean engineering [17][18][19][20], reduce the building cost of ocean engineering more reasonably, explore return periods of multivariable waves, and calculate joint design level values more accurately.…”

Intellectual prediction of student performance: opportunities and results

“…Modern intellectual means of analysis and prediction allow, with sufficiently high accuracy, regardless of the subject area, to determine the development trend of the researched variables based on the processing of large arrays of source data and detecting implicit, hidden patterns [1,2]. There are works on neural network prediction of stock prices and currency rates [3,4], credit scoring tasks, business strategies and logistics of e-commerce centers [5,6,7], features of radio signal propagation [8], pattern, speech and emotion recognition [9,10,11,12], research in medicine [13,14]. Separate articles, describing the attempts to predict students' progress, were published [15].…”